Efficient damage prediction and sensitivity analysis in rectangular welded plates subjected to repeated blast loads utilizing deep learning networks

Cites Work

Active cancellation of unsteady stress oscillation in a functionally graded piezoelectric thin plate subjected to impact loading
A particle-based approach to close-range blast loading
Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning
Transient response of functionally graded carbon nanotubes reinforced composite conical shell with ring-stiffener under the action of impact loads
A deep learning energy method for hyperelasticity and viscoelasticity
Optimum design of nonlinear structures via deep neural network-based parameterization framework
Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equations

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